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IGCSE · Grade 9

Computer Science (CS) Classes

Build a strong foundation in Cambridge IGCSE Computer Science (0478) — computer systems theory plus real programming.

A Grade 9 (Year 1) course covering the Cambridge IGCSE Computer Science 0478 syllabus for 2026-2028 examinations. Students learn computer systems theory — data representation, hardware, software, networks and cyber security — alongside algorithm design, pseudocode and hands-on programming in Python, Visual Basic or Java. The course follows the official Cambridge International two-paper structure and builds computational thinking and problem-solving skills for the full IGCSE qualification.

PythonVisual BasicJavaSQL
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What you'll learn

  • Convert and calculate across binary, denary, hexadecimal and two's complement number systems
  • Explain how computer hardware, the CPU, memory and storage work, including the fetch-decode-execute cycle
  • Describe networks, data transmission, encryption and core cyber security threats and protections
  • Apply computational thinking to design algorithms using pseudocode, flowcharts and trace tables
  • Write, test and debug working programs in Python, Visual Basic or Java using selection, iteration and arrays
  • Construct logic circuits and complete truth tables using Boolean logic gates
  • Create and query single-table databases using SQL
  • Evaluate automated and emerging technologies such as robotics, AI, expert systems and machine learning
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Full syllabus

Mapped to the official IGCSE curriculum.

011. Data Representation+
  • Number systems: binary, denary and hexadecimal
  • Converting between binary, denary and hexadecimal
  • Two's complement and binary arithmetic (binary shifts)
  • Text, sound and image representation
  • Measuring data storage (bit, byte, KiB, MiB, GiB, etc.)
  • Data compression: lossless and lossy
022. Data Transmission+
  • Packets and packet switching
  • Serial vs parallel, simplex/half-duplex/full-duplex transmission
  • Universal Serial Bus (USB)
  • Error detection: parity check, checksum, check digit, ARQ, echo check
  • Symmetric and asymmetric encryption
033. Hardware+
  • Computer architecture and the CPU; von Neumann model
  • Core, cache and clock speed; fetch-decode-execute cycle
  • Embedded systems
  • Input and output devices
  • Primary, secondary and off-line storage (magnetic, optical, solid state)
  • Sensors, microprocessors and control/monitoring systems
  • Logic gates (NOT, AND, OR, NAND, NOR, XOR)
044. Software+
  • System software vs application software
  • Operating systems and their functions
  • Interrupts and the role of the OS
  • High- and low-level languages; compilers, interpreters and assemblers
  • The relationship between hardware, firmware and software
055. The Internet and Its Uses+
  • The internet vs the world wide web; URLs
  • HTTP and HTTPS; web browsers and how web pages are retrieved
  • Cookies: session and persistent
  • Digital currency and blockchain
  • Cyber security threats (brute-force, data interception, DDoS, phishing, malware, etc.)
  • Keeping data safe: solutions and protection methods
066. Automated and Emerging Technologies+
  • Automated systems: sensors, microprocessors and actuators
  • Robotics and the characteristics of robots
  • Artificial intelligence: expert systems and machine learning
  • Advantages, disadvantages and applications of emerging technologies
077. Algorithm Design and Problem-Solving+
  • Program development life cycle (analysis, design, coding, testing)
  • Computational thinking: decomposition, abstraction, pattern recognition
  • Pseudocode and flowcharts
  • Standard methods of solution: linear/bubble sort, linear/binary search, totalling, counting
  • Trace tables and identifying/correcting errors
  • Validation, verification and suitable test data
088. Programming+
  • Declaring and using variables and constants; basic data types
  • Input, output, sequence, selection and iteration
  • Nested statements; counts and totals
  • One-dimensional and two-dimensional arrays
  • Procedures, functions and parameters; library routines
  • File handling; writing maintainable programs
099. Databases+
  • Single-table databases
  • Fields, records and data types; primary keys
  • Database structure (validation and basic SQL retrieval)
  • Querying and selecting data with structured query language (SQL)
1010. Boolean Logic+
  • Logic gates and their symbols
  • Constructing logic circuits from problem statements
  • Producing and completing truth tables
  • Writing logic expressions from circuits and vice versa

Tools you'll use

PythonVisual BasicJavaSQLPseudocodeFlowcharts

Exam pattern

Externally assessed across two written papers, each worth 75 marks and 50% of the total. Paper 1 (Computer Systems) covers Topics 1-6; Paper 2 (Algorithms, Programming and Logic) covers Topics 7-10 and includes a programming scenario/scenario-based section. Both papers are 1 hour 45 minutes, all questions compulsory, no calculators permitted. There is no separate coursework component.

Practical / project

Programming is integral to the course: students design, write, test and debug programs and algorithms using pseudocode or a high-level language (Python, Visual Basic or Java). Practical work covers arrays, file handling, validation, trace tables and single-table SQL databases. The programming and algorithm skills are assessed within Paper 2 rather than as standalone coursework.

Who it's for

Grade 9 / Year 1 students enrolled in (or preparing for) Cambridge IGCSE Computer Science 0478 who want to master both the theory papers and practical programming from the start.

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What's included

  • Live interactive online classes with Kajal Ma'am covering both Paper 1 (Computer Systems) and Paper 2 (Algorithms, Programming and Logic) of the 0478 syllabus
  • Chapter-wise study notes and concise summaries for data representation, hardware, networks, cyber security and emerging technologies
  • Worked solutions to past-paper questions and topic-wise question banks aligned to the 2026-2028 Cambridge syllabus
  • Regular assignments and graded practice sets after each unit to reinforce theory and pseudocode
  • Dedicated doubt-solving sessions where every student's questions are addressed personally
  • Hands-on programming practice in Python (or Visual Basic / Java) including arrays, file handling, validation and trace tables
  • Single-table database and SQL query practice plus Boolean logic and truth-table drills
  • Paper 1 and Paper 2 exam practice with marking-scheme-based feedback and a free trial demo class
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Why study Computer Science?

Grade 9 is Year 1 of the two-year Cambridge IGCSE Computer Science 0478 journey, and getting the foundations right here directly shapes the final A*-G grade. The qualification is assessed entirely through two written papers worth 50% each (75 marks apiece), so theory in Paper 1 and programming/algorithms in Paper 2 carry equal weight and must both be strong from the start. Building solid habits in data representation, hardware, pseudocode and programming in Grade 9 makes the Grade 10 exam year far less stressful and protects scoring potential. Because IGCSE Computer Science rewards genuine understanding and applied problem-solving (AO2 and AO3 together carry 60% of the marks), real conceptual clarity now translates into higher marks later.

Cambridge IGCSE Computer Science 0478 is the recognised foundation for AS & A Level Computer Science and the IB, and is accepted by leading universities worldwide as evidence of academic achievement. The computational thinking, programming and problem-solving skills built here feed directly into degrees in computer science, software engineering, data science and artificial intelligence. Even for students who pursue other fields, the logic, coding and data-handling skills are increasingly valued across engineering, IT and the wider digital economy.

Kajal Mehta — Founder & Mentor, Kwickprep
20+
YEARS
Kajal Ma'am
FOUNDER · MENTOR
Your mentor

Learn directly from Kajal Ma'am

An MCA who has taught computer subjects since 2006, Kajal Mehta personally mentors every batch — turning dense theory into clear, exam-ready understanding.

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Course FAQs

Is this IGCSE Grade 9 Computer Science course conducted fully online?+
Yes. All classes are conducted live online by Kajal Ma'am, who has been teaching Computer Science since 2006. Students join interactive sessions from anywhere in India or abroad and get notes, assignments, solutions and doubt-solving support digitally.
Do you offer both group batches and one-to-one classes, and how do the fees differ?+
Yes, both modes are available. Group batches are more affordable and let students learn alongside peers, while one-to-one classes offer fully personalised pacing and attention at a higher fee. You can request current fees for each mode when you book a demo.
Which syllabus does the course follow?+
It follows the official Cambridge IGCSE Computer Science 0478 syllabus for the 2026-2028 examinations, covering both Paper 1 (Computer Systems) and Paper 2 (Algorithms, Programming and Logic), so students are aligned with the current Cambridge International requirements.
Which programming language is taught?+
Programming is taught primarily in Python, with Visual Basic or Java available on request, since Cambridge accepts any of these for Paper 2. Students learn variables, selection, iteration, arrays, functions, file handling and trace tables through live coding.
How does the course help with exam and practical programming preparation?+
The course includes Paper 1 and Paper 2 practice with marking-scheme-based feedback, plus hands-on programming, pseudocode, SQL and Boolean logic practice. Since IGCSE 0478 has no separate coursework, all programming skills are practised in the way they are assessed within the written papers.
Can I attend a demo class before enrolling?+
Yes. A free trial demo class is available so you can experience the teaching style, ask questions and decide between group and one-to-one mode before enrolling. Kwickprep also maintains a verifiable 100% board pass record.

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